Tesla is seeking a Software Engineer to work on advanced robotics and AI platforms, focusing on integrating machine learning models with real-time systems. The role involves optimizing neural networks for performance and collaborating with researchers to transition models from prototype to production.

• Strong programming experience in Python and practical experience programming in C/C++ software
• Solid understanding of machine learning fundamentals (e.g., supervised learning, neural networks, model evaluation)
• Experience with model inference, deployment, and optimization
• Experience with embedded systems software design concepts
• Experience with communication standards such as CAN, ethercat and ethernet
• Proficient developing software on a Linux host, for embedded Linux targets (cross-compilation, etc.) is a plus
• Excellent problem solving, critical thinking, and communication skills

• Integrate ML models into embedded or robotic systems with tight latency and performance constraints
• Write Python scripts/tools for training, evaluation, and deployment pipelines
• Collaborate with machine learning researchers to bring models from prototype to production
• Optimize runtime performance of neural networks on various compute environments (e.g., GPU, CPU, edge accelerators)
• Work with sensors and actuators
• Develop messaging frameworks (e.g., ROS, ZeroMQ, gRPC)
• Design and implement efficient, robust C++ systems for real-time ML inference and control and for the humanoid robot software stack

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.